Acquisition of new domestic agricultural machinery per year
The annual volume of agricultural machinery purchased in the country varies, ranging from combine harvesters to windrowers. The 55 rows provided include the Russian Federation as a whole and individual federal districts, allowing for a comparison of procurement volumes across different parts of the country. The data reflects annual totals by machine type, as presented in the columns, without being tied to a specific year in the header
Chart of new domestic agricultural machinery acquisition by federal district
Set in numbers
Rosstat data. Rows: 55, indicators: 7. Table rows: Russian Federation; Volga Federal District; Central Federal District; Voronezh Oblast; North-Western Federal District and others
Five highest values: Russian Federation (927), Volga Federal District (365), Siberian Federal District (198), Central Federal District (141), Southern Federal District (102). The gap between the highest and lowest is 309 times. The top five account for 77.1% of the total across all positions — the distribution is heavily skewed towards the top
All table numbers are series: 55
| Series | Комбайны: — зерноуборочные | Комбайны: — кукурузоуборочные | Комбайны: — кормоуборочные | Комбайны: — льноуборочные | Комбайны: — картофелеуборочные | Свеклоуборочные машины (без ботвоуборочных) | Жатки валковые |
|---|---|---|---|---|---|---|---|
| Российская Федерация | 927,00 | 14,00 | 156,00 | — | 9,00 | 7,00 | 642,00 |
| Центральный федеральный округ | 141,00 | — | 36,00 | — | — | — | 91,00 |
| Брянская область | — | — | — | — | — | — | 5,00 |
| Владимирская область | 3,00 | — | 3,00 | — | — | — | — |
| Воронежская область | 19,00 | — | 4,00 | — | — | — | 20,00 |
| Ивановская область | — | — | 9,00 | — | — | — | — |
| Костромская область | — | — | 3,00 | — | — | — | — |
| Курская область | 12,00 | — | — | — | — | — | 3,00 |
| Липецкая область | 8,00 | — | — | — | — | — | — |
| Московская область | 4,00 | — | 3,00 | — | — | — | — |
| Орловская область | 14,00 | — | — | — | — | — | 5,00 |
| Рязанская область | 18,00 | — | — | — | — | — | 6,00 |
| Смоленская область | 6,00 | — | — | — | — | — | — |
| Тамбовская область | 46,00 | — | — | — | — | — | 37,00 |
| Тульская область | 7,00 | — | — | — | — | — | — |
| Северо-Западный федеральный округ | 9,00 | — | 9,00 | — | — | — | 7,00 |
| Вологодская область | — | — | 4,00 | — | — | — | — |
| Ленинградская область | — | — | 3,00 | — | — | — | — |
| Южный федеральный округ | 102,00 | — | 5,00 | — | — | — | 71,00 |
| Республика Калмыкия | 4,00 | — | — | — | — | — | — |
| Краснодарский край | 33,00 | — | — | — | — | — | 6,00 |
| Волгоградская область | 31,00 | — | — | — | — | — | 40,00 |
| Ростовская область | 29,00 | — | — | — | — | — | 20,00 |
| Северо-Кавказский федеральный округ | 31,00 | — | 4,00 | — | — | — | 17,00 |
| Ставропольский край | 31,00 | — | — | — | — | — | — |
| Приволжский федеральный округ | 365,00 | 11,00 | 65,00 | — | 4,00 | — | 251,00 |
| Республика Башкортостан | 66,00 | — | 6,00 | — | — | — | 29,00 |
| Республика Марий Эл | 9,00 | — | — | — | — | — | 4,00 |
| Республика Мордовия | 24,00 | — | — | — | — | — | 6,00 |
| Республика Татарстан | 34,00 | — | — | — | — | — | 24,00 |
| Удмуртская Республика | 22,00 | — | 17,00 | — | — | — | 9,00 |
| Чувашская Республика | 22,00 | — | 4,00 | — | — | — | — |
| Пермский край | 8,00 | — | 3,00 | — | — | — | 4,00 |
| Кировская область | 15,00 | — | 9,00 | — | — | — | 3,00 |
| Нижегородская область | 19,00 | — | 10,00 | — | — | — | 7,00 |
| Оренбургская область | 49,00 | — | 3,00 | — | — | — | 67,00 |
| Пензенская область | 8,00 | — | — | — | — | — | — |
| Самарская область | 33,00 | — | — | — | — | — | 28,00 |
| Саратовская область | 36,00 | — | 4,00 | — | — | — | 43,00 |
| Ульяновская область | 20,00 | — | — | — | — | — | 15,00 |
| Уральский федеральный округ | 67,00 | — | 7,00 | — | — | — | 53,00 |
| Курганская область | 20,00 | — | — | — | — | — | 19,00 |
| Свердловская область | 6,00 | — | 4,00 | — | — | — | 4,00 |
| Тюменская область | 17,00 | — | — | — | — | — | 3,00 |
| Тюменская область (без автономных округов) | 17,00 | — | — | — | — | — | 3,00 |
| Челябинская область | 24,00 | — | — | — | — | — | 27,00 |
| Сибирский федеральный округ | 198,00 | — | 27,00 | — | — | — | 143,00 |
| Алтайский край | 62,00 | — | — | — | — | — | 45,00 |
| Красноярский край | 26,00 | — | 6,00 | — | — | — | — |
| Кемеровская область | 24,00 | — | — | — | — | — | 18,00 |
| Новосибирская область | 47,00 | — | 8,00 | — | — | — | 53,00 |
| Омская область | 23,00 | — | 3,00 | — | — | — | 17,00 |
| Томская область | 5,00 | — | — | — | — | — | — |
| Дальневосточный федеральный округ | 14,00 | — | 3,00 | — | — | — | 9,00 |
| Амурская область | 8,00 | — | — | — | — | — | — |
How to read this table
Rows are categorized by territory, enabling a comparison between Russian Federation indicators and data for the Volga and Central Federal Districts. Comparing these series helps identify which districts have higher demand for domestic combine harvesters or windrowers. Each row contains information on the number of units of machinery acquired annually in the respective region or district
What is visible in these numbers
What is measured: Combines: — grain; Combines: — maize; Combines: — forage; Combines: — flax; Combines: — potato; Beet harvesters (excluding topper harvesters); Swath headers
75 out of 175 possible values are filled (42.9%). There are many gaps — some positions were observed only in certain periods, which should be taken into account when comparing
The same indicator in other breakdowns (3)
More in the section Bulletins on the state of agriculture (electronic versions)»
Period and application
Information from agricultural bulletins is updated by Rosstat to monitor the machinery market. This data is useful for agricultural holdings, equipment manufacturers, and government agencies involved in import substitution planning. Data on machine types, such as combine harvesters or windrowers, allows for an assessment of the level of technical equipment in the agricultural sector
How it is calculated
This year's harvest and livestock determine next year's procurement prices: processors need such series earlier than the supplier's price list
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